AI giants' $500 million bet to fix the jobs they are destroying

Introduction: a check against a wave

The builders' paradox

On June 25, 2026, an unusual coalition appeared before the cameras in Washington. On one side, Gina Raimondo, former U.S. Secretary of Commerce, and Eric Holcomb, former Republican governor of Indiana. On the other, checks from Amazon, Anthropic, Microsoft, and the OpenAI Foundation — the same companies that, for eighteen months, have cited artificial intelligence as the justification behind tens of thousands of job cuts in the United States (Axios).

The name of the financial vehicle is RAISE US, a bipartisan nonprofit that says it has already raised more than $500 million toward a total goal of one billion dollars. The money is meant to retrain American workers displaced by automation, at a time when June 2026 layoff data show that AI remains, for the fourth consecutive month, the reason most frequently cited by employers to justify cuts (AI Driven Talent).

A retraining effort that comes after the fall

This testimony is not that of a laid-off worker — it would be dishonest to invent a voice that does not exist. It is instead the testimony of a columnist observing, with documents in hand, how the architects of technological disruption are belatedly trying to cushion its social shock. The central question remains simple: can you fund the healing with the money of those who caused the wound without it becoming a public relations exercise?

According to the New York Times, OpenAI, Anthropic, Amazon, and Microsoft formally joined Raimondo's effort right at its launch, a rare alignment among tech rivals who are otherwise locked in a fierce race to dominate the generative artificial intelligence market (New York Times).

Section 1: what June's layoff numbers reveal

A record that will not budge

The June 2026 data confirm a trend that has been in place for several months: artificial intelligence remains the most frequently cited cause by American companies for workforce reductions, a pattern documented for a fourth straight month (AI Driven Talent). This finding comes alongside internal Amazon documents, revealed the same week, that reportedly sketch out a path allowing the company to avoid up to 600,000 future hires through automation.

That figure, if confirmed over time, would by itself illustrate the scale of the structural problem RAISE US is trying to address: this is no longer just about scattered job losses, but about a planned slowdown in human hiring growth in certain logistics and administrative segments.

The contrast with tech industry profits

While job cuts pile up, the companies behind these technologies keep posting robust growth in their generative AI revenues. This contrast fuels the central criticism leveled at the RAISE US initiative: some observers believe the promised half-billion remains modest compared to the scale of the economic transformations under way, a reservation voiced even within the coalition's own ranks, where Eric Holcomb has publicly acknowledged that the target might not be enough at the necessary scale (Politico).

This tension between the scale of the problem and the size of the financial response is, at this stage, the strongest critical angle against the initiative — far more than the easier but less proven accusation of a mere corporate image exercise.

Section 2: RAISE US's structure, a federalist bet

Bypassing Washington, betting on the states

RAISE US's strategy rests on a decisive political choice: rather than waiting for action from the U.S. Congress, the organization chooses to work directly with state governors. State capitals control community colleges, professional certification systems, and tax incentives for businesses — the concrete levers that determine whether an employer chooses to retrain a worker or lay them off (TheOutpost.ai).

Four states were chosen as the first testing grounds: Arkansas, Connecticut, Maryland, and Utah, a deliberately bipartisan mix of Democratic and Republican administrations.

Pilots already under way

The plan has not stayed on paper. In Arkansas, RAISE US is supporting an AI-powered career navigation platform called Arkansas LAUNCH. In Maryland, the initiative is expanding a service year program for young graduates into the healthcare and education sectors, while also funding an accelerator for displaced workers looking to start their own businesses (TheOutpost.ai).

Connecticut and Utah round out the first wave of state partnerships, with approaches still being defined according to organization officials.

Section 3: the faces behind the coalition

A bipartisan team at the helm

The choice of Gina Raimondo as CEO is no accident. As former Secretary of Commerce under the Biden administration, she oversaw part of American industrial and technology policy during her tenure, including early federal discussions on artificial intelligence regulation. Her partner, Eric Holcomb, former Republican governor of Indiana, brings legitimacy with the conservative administrations RAISE US is trying to recruit (Politico).

This political duality is not cosmetic: it directly shapes the organization's ability to convince governors from both parties to mobilize their own administrative levers without the initiative being seen as a partisan operation.

A corporate circle that goes beyond tech

Beyond the four tech giants anchoring the initiative, the coalition includes more than two dozen companies and philanthropic foundations, among them IBM, Cisco, General Motors, Mastercard, Bank of America, Eli Lilly, and the Rockefeller Foundation (Axios). This sectoral diversity suggests that the disruption tied to AI extends well beyond the tech sector to touch logistics, healthcare, finance, and manufacturing.

Bank of America notably acts as lead sponsor of an advanced manufacturing apprenticeship initiative built into RAISE US's overall program, a detail that shows the organization's intent to root its interventions in concrete industries rather than abstract principles.

Section 4: the concrete tools for retraining

Wage insurance, an idea borrowed from the social safety net

Among the tools RAISE US wants to test is a form of wage insurance, aimed at workers forced to accept a lower-paying job rather than leaving the labor market altogether. The organization also wants to experiment with a form of reduced-hours compensation to keep employees on staff during a transition rather than laying them off immediately (TheOutpost.ai).

These mechanisms draw on schemes already tested in some European countries, but applying them at the American scale, in a much less regulated labor market, remains an experiment in its own right whose results are not guaranteed.

Measuring success differently

One of RAISE US's most significant commitments concerns its evaluation method. The organization says it wants to measure success not by the number of program enrollments or hours of training delivered — a metric that has historically let many retraining programs claim a largely illusory impact — but by whether workers actually land a job and keep it (Tech Times).

This methodological precision directly answers a long-standing criticism of federal workforce retraining programs, whose real effectiveness has often been judged insufficient against the scale of the economic transitions they claimed to support.

Section 5: the evidence fueling skepticism

A study that cools the illusions

A report cited in coverage of the initiative analyzed more than 23 million federal records under the U.S. Workforce Innovation and Opportunity Act. Its conclusion is blunt: traditional job retraining rarely manages to place workers back into jobs less exposed to automation, with one notable exception — apprenticeship programs run directly by employers (AI Driven Talent).

This data directly explains why RAISE US insists so heavily on incentives aimed at employers rather than on generic training disconnected from the real labor market. The organization appears to have built its strategy as a direct response to this documented failure of previous approaches.

The silence on workers' rights

A critical analysis published by The Register notes that RAISE US's initial announcement places heavy emphasis on incentives offered to employers, while remaining largely silent on any explicit mention of workers' own rights (The Register). The focus is on wage insurance and career navigation rather than on strengthened legal protections against automation-driven layoffs.

This silence is not necessarily a malicious strategic omission, but it illustrates a structural tension: a coalition partly funded by the companies responsible for the layoffs has natural limits on how far it is willing to fund protections against its own practices.

Section 6: the policy lab, a piece apart

Funded without corporate money

RAISE US includes a separate component called the Policy Lab, tasked with developing recommendations on workforce strategy in the face of AI. Notably, this lab is funded exclusively by philanthropic organizations, not by the initiative's corporate partners (Tech Times). This separation is meant to preserve a form of analytical independence from the companies that otherwise fund the organization's operational programs.

Among the identified philanthropic funders are the Rockefeller Foundation, Arnold Ventures, Emerson Collective, and the Stephen A. Schwarzman Foundation, a group of donors already active in American public policy tied to jobs and education.

Congress's role on the sidelines

The very existence of this policy lab underscores, by omission, the absence of substantial federal legislative action on the disruption caused by AI. By betting on a parallel philanthropic structure rather than direct pressure on Congress, RAISE US implicitly acknowledges that the window for federal political action remains, for now, closed.

This reality reinforces the argument that private initiative, despite its obvious limits of democratic legitimacy, is filling a void that elected institutions have not addressed.

Section 7: the response from markets and rivals

An acknowledged competitive pressure

A statement from one of the coalition's leaders sums up the spirit of the initiative well: it is, in the reported words, the first time direct competitors in the tech industry have set aside their rivalry to collectively commit, in the name of the national interest, to funding a transition they themselves triggered (TheOutpost.ai). Amazon, Microsoft, OpenAI, and Anthropic are fiercely fighting for supremacy in generative artificial intelligence models, yet they now share a common funding structure to manage the social fallout of that race.

This unusual convergence reflects an implicit recognition: the political and reputational risk of ignoring the jobs issue could, over time, curb the social acceptability of their own products, a calculation that goes well beyond simple philanthropy.

A signal sent to foreign governments

The scale of this American private mobilization has not gone unnoticed internationally. It sends a clear signal to allied Western governments: managing the transition tied to artificial intelligence is becoming a matter of geopolitical competitiveness as much as a domestic social issue. Countries that manage to help their workforce through this transformation will keep a strategic advantage over rivals, notably China, which is investing massively in automation without the same social transparency constraints.

The implicit bet of RAISE US is that the West cannot afford to lose the trust of its own population in the technology it seeks to dominate globally.

Conclusion: a test, not a solution

What RAISE US can actually prove

RAISE US is neither a complete answer to the economic disruption caused by artificial intelligence, nor a mere corporate communications operation devoid of substance. It is a test at the scale of four states, backed by significant funding that is probably still insufficient against the scale of the problem, and paired with a more rigorous evaluation method than most previous government programs.

The true measure of its success will not come from the press releases of June 2026, but from real employment data in Arkansas, Connecticut, Maryland, and Utah over the next eighteen to thirty-six months.

The West facing its own mirror

This initiative illustrates a broader dynamic: Western societies leading the artificial intelligence race must show they can manage the social consequences of their own technological head start, or risk a political backlash that could weaken their ability to keep innovating against rivals, notably Chinese ones, who do not face the same internal democratic constraints. Getting this transition right is not just a matter of social justice — it is a condition for the continued legitimacy of Western technological leadership.

By Maxime Marquette, columnist

Columnist's transparency note

Method and limits

This piece relies exclusively on reporting published between June 25 and July 2, 2026 by the media outlets identified in the Sources section below. No direct testimony from a displaced worker was invented or fictitiously attributed; the angle of this piece is that of journalistic analysis based on public statements from RAISE US leaders and on publicly available layoff data.

Acknowledged uncertainties

The columnist acknowledges not having, at this stage, concrete outcome data on the pilots in Arkansas, Connecticut, Maryland, and Utah, as these programs were still in their launch phase at the time of writing. The real effectiveness of RAISE US can only be assessed in the coming quarters.

Sources

Primary sources

Axios — Anthropic joins Sec. Gina Raimondo's AI labor efforts, June 25, 2026

The New York Times — Big Companies Aim to Ease A.I. Transition for American Workers, June 25, 2026

Politico — $500 million AI jobs push launches with bipartisan backing, June 25, 2026

Secondary sources

AI Driven Talent — AI's Biggest Job Cutters Just Pledged $500M to Retrain the Displaced, July 2, 2026

Tech Times — AI Workforce Retraining Fund Hits $500M, June 30, 2026

TheOutpost.ai — AI Giants Back $500M Non-Profit to Retrain Workers, June 25, 2026

The Register — AI giants back non-profit to retrain workers left behind by AI, June 26, 2026